The proceedings contain 59 papers. The special focus in this conference is on parallel Computing in Regular Structures. The topics include: Analytical modeling of parallel application in heterogeneous computing enviro...
ISBN:
(纸本)3540663630
The proceedings contain 59 papers. The special focus in this conference is on parallel Computing in Regular Structures. The topics include: Analytical modeling of parallel application in heterogeneous computing environments;skeletons and transformations in an integrated parallel programming environment;sequential unification and aggressive lookahead mechanisms for data memory accesses;a coordination model and facilities for efficient parallel computation;parallelizing of sequential programs on the basis of pipeline and speculative features of the operators;kinetic model of parallel data processing;PSA approach to population models for parallel genetic algorithms;highly accurate numerical methods for incompressible 3D fluid flows on parallel architectures;dynamic task scheduling with precedence constraints and communication delays;two-dimensional scheduling of algorithms with uniform dependencies;consistent lamport clocks for asynchronous groups with process crashes;comparative analysis of learning methods of cellular-neural associative memory;emergence and propagation of round autowave in cellular neural network;routing and embeddings in super cayley graphs;implementing cellular automata based models on parallel architectures;overview, design innovations, and preliminary results;implementing model checking and equivalence checking for time petri nets by the RT-MEC tool;learning concurrent programming;the speedup performance of an associative memory based logic simulator;a high-level programming environment for distributed memory architectures;virtual shared files;an object oriented environment to manage the parallelism of the FIIT applications;performance studies of shared-nothing parallel transaction processing systems;synergetic tool environments and logically instantaneous communication on top of distributed memory parallel machines.
Binary addition is a commonly used application in computational arithmetic. Adders are the basic building blocks of the various computational structures leading to wide applications in Digital Signal processing, arith...
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This article describes an unsupervised strategy to acquire lexico-semantic frames (LSFs) of verbs from sentential parsed corpora (in syntactic level). LSF is a crucial linguistic resource presents a set of semantic el...
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ISBN:
(纸本)9783540747666
This article describes an unsupervised strategy to acquire lexico-semantic frames (LSFs) of verbs from sentential parsed corpora (in syntactic level). LSF is a crucial linguistic resource presents a set of semantic elements for exhibiting a meaning of lexeme. The problems of acquiring LSFs consist of verb senses ambiguity, diversity of linguistic usages, and lack of completed elements in a sentence. We propose an specific clustering and combining technique to acquire frame for each verb sense and specify constraints to each frame's slots. Our proposed clustering technique is based on the Minimum Description Length (MDL) principle and using information encoded in features of element instead of its frequency from the corpora.
We present AMP, a novel service architecture for countering distributed denial of service (dDos) attacks. AMP uses dynamically configured network components to perform traffic monitoring, filtering and detection of co...
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With the availability of Computational Grids, new kinds of applications that will soon emerge will raise the problem of how to program them on such computing systems. In this paper, we advocate a programming model tha...
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Laser scanning is one of the modern and actively-developing remote sensing techniques, resulting in a point cloud, containing a set of different attributes for each point. One of the positive features of laser scannin...
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ISBN:
(纸本)9783030242893
Laser scanning is one of the modern and actively-developing remote sensing techniques, resulting in a point cloud, containing a set of different attributes for each point. One of the positive features of laser scanning is the high accuracy of the results;this is achieved by obtaining a large number of points describing the scanned object. In some circumstances, point clouds may contain billions of points, which require hundreds of gigabytes to be stored. Loading and processing of such huge data require large time and computational resources. The first problem is such massive point clouds initial downloading and pre-processing. The standard approach is the sequential processing of laser scanning results, which requires a significant amount of time. In this paper, we have conducted research and testing of various approaches for loading and processing of point clouds, one of the proposed approaches is the use of multithreading to significantly reduce time. The guideline for improvement of processing of laser scanning point clouds with use of multithreading is presented.
This article delves into heterogeneous computing systems, which employ multi-core processors (CPUs) and graphics processing units (GPUs) concurrently, facilitating efficient handling of resource-intensive tasks demand...
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It is critical to provide high performance for scientific applications running on Chip Multi-Processors (CMP). A CMP architecture often comprises a shared L2 cache and lower-level storages. The shared L2 cache can red...
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Streams for video conferencing and interactive streaming applications. By using exploiting the spatial and temporal redundancies of stereoscopic video sequences, the proposed technique leverages GPUs to technique and ...
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Federated learning, an emerging distributed learning framework, has gained prominence recently. However, two challenges arise when applying federated learning to medical data. The first challenge stems from the inabil...
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